AI to find early bladder cancer changes in Veterans exposed to carcinogens

BCCMA: Basic and Translational Mechanisms of Cancer Initiation of the Urothelium in Veterans Exposed to Carcinogens: Leveraging Artificial Neural Networks to Enhance Detection of Carcinoma in situ

NIH-funded research Veterans Admin Palo Alto Health Care Sys · NIH-11247453

Using AI and tissue studies to spot early bladder cancer changes in Veterans who smoked or were exposed to deployment-related chemicals.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionVeterans Admin Palo Alto Health Care Sys NIH-funded
Lab location1 site (Palo Alto, United States)
Project IDNIH-11247453 on NIH RePORTER

What this research studies

This project combines lab studies of bladder lining samples with advanced artificial neural networks to find the earliest signs of cancer in Veterans exposed to carcinogens. Researchers will study genetic, immune, and epigenetic signals in carcinoma in situ and examine how a protein called PPARγ influences cell behavior. The team will train AI to better detect abnormal cells and to help sort patients by risk. The goal is to guide earlier detection and point to new, more targeted treatment options for at-risk Veterans.

Who could benefit from this research

Good fit: Veterans with a history of smoking or deployment-related chemical exposures, particularly those undergoing bladder evaluation or surveillance, are the most likely candidates.

Not a fit: People without bladder cancer risk factors or those with advanced metastatic disease are unlikely to benefit from early-detection-focused approaches.

Why it matters

Potential benefit: Could enable earlier, more accurate detection of bladder cancer when curative treatments are most effective.

How similar studies have performed: AI and molecular profiling have shown promise in cancer detection generally, but applying neural networks specifically to early bladder carcinoma in situ in Veterans is relatively new.

Where this research is happening

Palo Alto, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.